A non-human identity assigned to an AI system or workflow so it can act within a defined boundary. The identity carries credentials, tool permissions, and logging obligations that determine what the system may access and how its actions are traced.
Expanded Definition
Delegated Runtime Identity is the non-human identity a system uses at execution time when an AI agent, service, or workflow needs to authenticate, call tools, or access data on behalf of a bounded purpose. It is narrower than a generic service account because the delegation is time-bound, purpose-bound, and traceable, with explicit credentials, permissions, and audit expectations. In practice, this concept sits at the intersection of NHI governance, privileged access controls, and agentic AI oversight, because the identity is what converts an autonomous action into an accountable one.
Definitions vary across vendors and architecture patterns, but the security principle is consistent: the runtime identity must not inherit broad standing access just because the system is automated. A well-designed delegated identity should align with least privilege, short-lived credentials, and clear ownership. NHI Management Group treats this as an operational control point, not just an implementation detail, because the identity boundary is often what prevents an AI system from becoming an over-permissioned actor. The most common misapplication is treating a delegated runtime identity as a reusable shared credential, which occurs when multiple workflows or agents are given the same long-lived access token without traceable delegation boundaries.
Examples and Use Cases
Implementing delegated runtime identity rigorously often introduces orchestration overhead, requiring organisations to weigh tighter control and better traceability against more complex credential issuance and lifecycle management.
- An AI support agent uses a short-lived identity to read a customer record and create a ticket, while write access to financial data remains blocked.
- A cloud automation workflow assumes a delegated identity only during deployment, then loses access once the job completes and logs are sealed.
- An internal code assistant uses a bounded identity to query repositories and open pull requests, but cannot merge changes without separate approval.
- A security response agent uses a delegated identity to collect endpoint telemetry through NIST Cybersecurity Framework 2.0-aligned controls, with every action tied back to the workflow instance.
- A data pipeline temporarily receives access to an API key vault, then the identity expires before the next scheduled run.
In well-run environments, the delegation boundary is documented alongside the system prompt, workflow policy, or service definition so operators can tell what the identity may do, when it may do it, and what evidence must be retained. This is especially important where an AI agent can invoke external tools, because each tool call expands the practical meaning of the identity.
Why It Matters for Security Teams
Delegated runtime identity matters because it turns machine action into something governable. Without it, AI systems and automated workflows often end up borrowing human credentials, shared service accounts, or overly broad API keys, which weakens accountability and makes incident response much harder. For identity and cyber teams, the issue is not only access control but also attribution: a security log that says “the system did it” is not enough unless the delegated identity, scope, and session context are preserved.
This term connects directly to NIST SP 800-63 because assurance, authenticator strength, and lifecycle handling all affect whether the delegation is trustworthy. It also fits the governance intent of the NIST AI Risk Management Framework, where accountability and traceability are core expectations for AI-enabled systems. When delegated identities are mismanaged, organisations lose the ability to distinguish intended automation from unauthorized action, which creates both security and compliance exposure. Organisations typically encounter the operational consequences only after an incident review reveals that an AI workflow used a shared credential, at which point delegated runtime identity becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI guidance covers non-human identities used by systems at runtime. | |
| NIST CSF 2.0 | PR.AC | Access control outcomes map directly to delegated identity scope and enforcement. |
| NIST SP 800-63 | AAL2 | Digital identity assurance informs how strongly a delegated identity should be authenticated. |
| NIST AI RMF | AI RMF governance requires accountable, traceable AI system operation. | |
| OWASP Agentic AI Top 10 | Agentic AI guidance addresses tool access and execution authority for autonomous systems. |
Use per-workflow identities, avoid shared secrets, and tie each credential to a single accountable workload.
